code: def test_forward_pulls_out_correct_tensor_without_sequence_lengths(
      self,
  ):
      lstm = LSTM(
          bidirectional=True,
          num_layers=3,
          input_size=2,
          hidden_size=7,
          batch_first=True,
      )
      encoder = PytorchSeq2VecWrapper(lstm)
      input_tensor = torch.FloatTensor([[[0.7, 0.8], [0.1, 1.5]]])
      lstm_output = lstm(input_tensor)
      encoder_output = encoder(input_tensor, None)
      assert_almost_equal(
          encoder_output.data.numpy(),
          lstm_output[0].data.numpy()[:, -1, :],
      )
  
file_path: allennlp/tests/modules/seq2vec_encoders/pytorch_seq2vec_wrapper_test.py
imports: import pytest
  from numpy.testing import assert_almost_equal
  import torch
  from torch.nn import LSTM
  from torch.nn.utils.rnn import pack_padded_sequence
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.modules.seq2vec_encoders import PytorchSeq2VecWrapper
  from allennlp.nn.util import sort_batch_by_length, get_lengths_from_binary_sequence_mask
  from allennlp.modules.stacked_alternating_lstm import StackedAlternatingLstm
label_desc: Use image node_id 2 for calling the TestPytorchSeq2VecWrapper obj's underlying member method code with example usage: obj.test_forward_pulls_out_correct_tensor_without_sequence_lengths() without return types